What does the Langfuse Prompt and Trace Debugger skill do?

This skill connects directly to Langfuse servers to fetch, cache, and analyze real-time AI prompts and execution traces. It provides command-line tools to eliminate guesswork when debugging AI behavior, schema errors, and production incidents.

When is it mandatory to use this skill?

You MUST use this skill immediately when your code fails with a `KeyError`, you encounter a schema validation error, or an AI model returns an unexpected response structure. Using it prevents incorrect assumptions and speeds up debugging.

How does this skill improve my AI development workflow?

It replaces guesswork with data-driven facts. Instead of assuming a prompt's structure, you can fetch the exact version from staging or production. This allows you to rapidly diagnose errors, validate responses, and analyze performance with confidence.

What key capabilities does this skill provide?

It offers several command-line scripts to: fetch and cache prompt schemas from different servers, view detailed trace information by ID, automatically find recent error traces, and search across traces to identify patterns and performance bottlenecks.

Langfuse Prompt and Trace Debugger

Name: Langfuse Prompt and Trace Debugger
Author: cncorp

bycncorp

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분석 및 모니터링

Fetches and analyzes Langfuse prompts and traces to debug schema errors, production issues, and AI model behavior.

Provides a mandatory set of tools for debugging AI interactions by connecting directly to Langfuse. Instead of guessing at prompt schemas, this skill allows for fetching the exact prompt text and configuration from both staging and production environments, which is critical for resolving `KeyError` and validation issues. It includes scripts to view specific traces, find recent errors, analyze performance, and understand the precise inputs and outputs of AI models, enabling data-driven investigation of application behavior and production incidents.

주요 기능

01Mandatory usage for `KeyError` and schema validation failures to prevent guesswork.

02Fetches and caches live prompt schemas and configurations from separate staging and production servers.

03Provides command-line tools to fetch, view, and search Langfuse traces for debugging AI workflows.

04Includes proactive debugging workflows for production issues, performance analysis, and response validation.

05Offers scripts to reconstruct full, untruncated prompts for deep-dive analysis.

067 GitHub stars

사용 사례

01Resolving a `KeyError` in a test by fetching the actual prompt schema from Langfuse instead of guessing field names.

02Investigating a production incident where a user received an incorrect AI response by fetching and analyzing the specific error trace.

03Analyzing high API costs by fetching traces within a specific time window to identify slow or expensive prompts.

What are Skills?·How to Install

Install with 🐟 Skill.Fish

npx skillfish add cncorp/arsenal langfuse-prompt-and-trace-debugger

For use in Claude.ai and ChatGPT

Download Skill